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Monitoring Traffic Congestion Using Trust-Based Smart Road Signs 12th

Monitoring Traffic Congestion Using Trust-Based Smart Road S...

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2023 International Conference on Smart Cities and Green ICT Systems and International Conference on Vehicle Technology and Intelligent Transport Systems

作者： Abidi, Rihab Sahli, Nabil Ben Azzouna, Nadia Trojet, Wassim Hoblos, Ghaleb Univ Tunis ISG SMART Lab 41 Ave Liberte Tunis 2000 Tunisia Normandy Univ Unirouen Esigelec Irseem Technopole MadrilletAve Galilee F-76800 St Etienne Du Rouvray Normandie France German Univ Technol GUtech POB 1816 Muscat Oman Higher Coll Technol UAE POB 25026 Abu Dhabi U Arab Emirates

ISBN: (纸本)9783031709654;9783031709661

The evolution of Intelligent Transportation Systems (ITSs) enabled the emergence of traffic management applications, with the aim to enhance the traffic flow and ease the congestion by monitoring the traffic. However, the efficiency of these applications resides on the accuracy of the shared traffic information. Accordingly, trust management models are applied to secure the Vehicular Ad-hoc NETwork (VANET) and to assess the reliability of the data shared within the vehicular network. In this paper, we propose a proof-of-concept of the trust framework proposed in [2]. The main objective is to observe the utility of applying trust management models to the intelligent transportation systems. The simulation results show that deploying trust-based Smart Road Signs (SRSs) helps to alleviate the traffic congestion around junctions by displaying the traffic state to users and offering them the opportunity to take alternative roads.

关键词： Intelligent transportation system Trust management Infrastructure-Based architecture

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Exploring the Innovation Capabilities of South African SMEs: A Principal Component Analysis Approach 4th

Exploring the Innovation Capabilities of South African SMEs:...

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4th International Conference on Society 5.0

作者： Weilbach, Lizette Smuts, Hanlie Boolaky, Aleesha Chittoo, Hemant Mauree-Narrainen, Diroubinee Padachi, Kesseven Ramphul, Needesh Univ Pretoria Pretoria South Africa Univ Technol Mauritius Port Louis Mauritius

ISBN: (纸本)9783031714115;9783031714122

Small and Medium-sized Enterprises (SMEs) play a critical role in the economic growth and innovation of any nation. Despite their importance, SMEs often face significant challenges that hinder their innovation processes, including financial limitations and restricted access to information and technology. Additionally, understanding how open innovation practices can sustain competitive advantages in fast-evolving global markets is essential. This study investigates the innovation capabilities in South African SMEs, focusing on their relative importance in driving innovation, highlighting their multifaceted approach to drive innovation and remain competitive. A survey of 220 South African SMEs evaluated 19 innovation capabilities across 8 dimensions using a 5-point Likert scale. Principal component analysis identified five key factor groupings: risk management, customer acquisition, knowledge management, business networks, and innovation/product enhancement. The findings reveal that SMEs strategically manage risks, leverage customer insights, and cultivate networks to enhance their innovation capabilities, thereby positioning themselves as competitive players. By pinpointing the primary drivers of innovation, this study proposes strategies to strengthen these capabilities in the dynamic global economic landscape.

关键词： SME innovation innovation capacity innovation capabilities principal component analysis

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SHGNN: A Substructure-Aware and High Expressive Graph Neural Network for Graph Classification 5th

SHGNN: A Substructure-Aware and High Expressive Graph Neural...

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5th International Conference on Neural Computing for Advanced Applications (NCAA)

作者： Sun, Jinyong Dong, Zhiwei Sun, Zhigang Wen, Yimin Zhao, Xiang Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China Guangxi Normal Univ Key Lab Educ Blockchain & Intelligent Technol Minist Educ Guilin 541004 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Image & Graph Intelligent Proc Guilin 541004 Peoples R China Guilin Univ Elect Technol Key Lab Cognit Radio & Informat Proc Guilin 541004 Peoples R China

ISBN: (纸本)9789819770007;9789819770014

Graph Neural Networks (GNNs), with their remarkable capabilities in learning graph features, have achieved success in graph classification tasks. However, the Message Passing GNNs (MP-GNNs), sharing the feature aggregation mechanism with the 1-Weisfeiler-Leman (1-WL) graph isomorphism test, suffer from limited expressiveness in downstream tasks, such as graph classification. To enhance the expressive power of GNNs, we propose a substructure-aware and high expressive graph neural network model. Firstly, Ego substructures are extracted from a graph and fed into a MP-GNN to obtain substructure-level features. Then, a count-sensitive neighborhood hashing method is introduced to encode the structural characteristics of Ego substructures, which are then injected into the corresponding substructure-level features to enhance the model's expressiveness. Next, an Ego-substructure-aware Transformer is utilized to extract global features from the graph, which use a token to fuse the interaction information among graphs' nodes, thereby generating graph-level feature vector. Finally, we apply a Multi-Layer Perceptron (MLP) followed by a softmax layer to classify graphs. Theoretical analysis demonstrates that the proposed SHGNN ismore powerful than 1-WL test. Experimental results show that, compared to the state-of-the-art graph deep learning methods, our model not only outperforms 1-WL in expressiveness, but also achieves higher classification accuracy.

关键词： graph classification graph neural networks substructure-aware neighborhood hashing Transformer

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E-Waste Collection Under Recycling Hub Demand and Partial information: The Benchmark Solution in a Pilot Case 5th

E-Waste Collection Under Recycling Hub Demand and Partial In...

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5th International Conference on Innovative Intelligent Industrial Production and Logistics

作者： Ciccarelli, Alessia Flamini, Marta Naldi, Maurizio Romano, Elpidio Int Telemat Univ Uninettuno Corso Vittorio Emanuele 39 2 I-00186 Rome Italy Lumsa Univ Via Marcantonio Colonna 19 I-00192 Rome Italy Roma Tre Univ Via Vasca Navale 79 I-00146 Rome Italy

ISBN: (纸本)9783031807749;9783031807756

E-waste collection is a case of reverse logistics in a circular economy approach where e-waste is recycled, refurbished, or properly disposed of. In some cases, the recycling process is driven by companies that request specific types and amounts of e-waste to be collected and included back in their manufacturing cycle. The collection process should be optimized to properly match demand and offer at the minimum cost. We study a realistic collection scenario where a recycling hub demands a certain amount of e-waste items of different types to be collected among a set of stations whose inventory availability is unknown. This scenario represents a benchmark for what we can obtain when more information is available. We propose a routing algorithm that assigns the requested items to vehicles and plans their routes with the goal of maximizing the hub's demand fulfilment while minimizing operating costs, all within the constraints of vehicle capacity. Through a simulation conducted on the pilot case in the city of Rome, we show that the demand satisfaction level can exceed 75% in more than 75% of the simulation instances, and fuel costs represent the dominant component.

关键词： Reverse logistics e-Waste Waste collection

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Contribution of Fuzzy-Possibility Approach to Assessing the Complexity Level of IT-Systems Design 5th

Contribution of Fuzzy-Possibility Approach to Assessing the ...

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5th International Conference on Innovative Intelligent Industrial Production and Logistics

作者： Kimyaev, Igor Spesivtsev, Alexander Spesivtsev, Vasily Shilov, Nikolay LLC Nornickel Sputn Moscow Russia Russian Acad Sci SPIIRAS St Petersburg Inst Informat & Automat St Petersburg Russia

ISBN: (纸本)9783031807749;9783031807756

The problem of assessing the level of the design work complexity in the IT industry is of vital importance. This is due to the fact that design in this industry involves the consolidation of a wide variety of knowledge sectors: programming, network technologies, engineering infrastructure, etc. From such diversity follows the absence of generally accepted methods for quantitative assessment of the complexity and volume of design work based on the most general requirements for the designed IT system. In this research, a method for quantitative indicative assessment of the complexity of one of the main phases of IT system design is proposed: architectural planning. Using a seven-factor structure of fuzzy linguistic variables, a fuzzy possibility model was developed based on expert knowledge and experience. This model allows for quantitative assessment and forecasting of the complexity of tasks in the architecture of information technology systems.

关键词： Technology digitalization Fuzzy possibility approach Business entity Operational / informational technology Functional specification Expert knowledge Enterprise architect

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Towards Comparison of Various Variants of CKKS 2nd

Towards Comparison of Various Variants of CKKS

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2nd International Conference on information Technologies and Their Applications

作者： Hati, Nargiz Khankishiyeva Ostim Tech Univ Ankara Turkiye

ISBN: (纸本)9783031734168;9783031734175

Homomorphic encryption is the type of encryption scheme which does not require decryption for encrypted data in order to do arithmetic computations on this encrypted data. Homomorphic encryption methods have been developing using several approaches. CKKS is the HE scheme which supports an approximate addition and multiplication of encrypted messages, together with a new rescaling procedure for managing the magnitude of plaintext. After CKKS is revealed, it is widely used in privacy preserving in data analyses. However, as the computations are performed, the ciphertext modulus in CKKS decreases and eventually, more computations cannot be done and therefore CKKS needs bootstrapping procedures. By far, the Residue Number System (RNS) variants of CKKS and new approximation methods for CKKS and RNS-CKKS are proposed. In this paper, the new approximation methods for CKKS are analyzed and advantages and disadvantages of latest variants are discussed. The aim of this work to compile various papers about bootstrapping of HEAAN and give brief survey of those papers.

关键词： Homomorphic Encryption CKKS RNS Approximate Number

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A Survey and Insights on Modern Game Development Processes for Software Engineering Education 33rd

A Survey and Insights on Modern Game Development Processes f...

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33rd International Conference on Software and Data Engineering

作者： Shrestha, Aakanksha Zuo, Fei Qian, Gang Rhee, Junghwan Univ Cent Oklahoma Edmond OK 73034 USA

ISBN: (纸本)9783031752001;9783031752018

The video game industry has a fast-growing multi-billiondollar market. Due to the fast evolution of game technologies and industry, there is a pressing need to survey and analyze the current game development processes so that students who have an interest in game development can have better knowledge and skills for their projects in game software engineering education. In this paper, we present our survey and analysis of multiple aspects of modern game development and provide useful insights for students who want to work on game development. We also present a model of the common components of the game development process as well as the amount of the workload involved. This can help students, who are interested in developing their own games, craft a realistic plan for such projects.

关键词： Software Engineering Education Game Development Education Survey of Game Development Processes

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Towards a Process-Based Industry 5.0 Maturity Model: A Feasibility Study in Supply Chain 5th

Towards a Process-Based Industry 5.0 Maturity Model: A Feasi...

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5th International Conference on Innovative Intelligent Industrial Production and Logistics

作者： Himmiche, Sara Maire, Jean-Luc Jimenez, Jose-Fernando Pralus, Magali Tabourot, Laurent Univ Savoie Mont Blanc SYMME Lab Annecy France

ISBN: (纸本)9783031807596;9783031807602

A focus on sustainability, resilience, and human-centricity is necessary to implement the global vision of Industry 5.0. However, assessing the readiness of these pillars within the business processes of an organization remains a significant challenge. This paper addresses this gap by providing a comprehensive and process-based maturity model in Industry 5.0 context. The model adopts a top-down approach assessing the maturity of business processes at different layers and focusing on the formalization of practices and their correlation with maturity levels. The applicability of the model is demonstrated through its instantiation to the supply chain process category, with a focus on the schedule production process. Furthermore, the paper explores the integration of AI-based techniques to automate the creation of maturity grids and streamline the assessment process. Overall, the results of this paper highlight the prescriptive characteristic of the proposed maturity model, providing a robust framework to guide organizations towards a step-by-step transition through the Industry 5.0 vision.

关键词： Industry 5.0 Maturity model Business processes Practices Supply chain

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Kisaan Margadarshak: An AI-Based Decision Support System for Farmers in India 2nd

Kisaan Margadarshak: An AI-Based Decision Support System for...

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2nd International Conference on Agriculture-Centric Computation

作者： Trimukhe, Aryan Gokarakonda, Asish Khandeparkar, Kedar Anirudh, D. Dolli, Shrishail Indian Inst Technol Dharwad Dharwad Karnataka India Univ Agr Sci Dharwad Karnataka India

ISBN: (纸本)9783031744396;9783031744402

Crop health and market price play a crucial role in the yield and profitability of small-scale farming. The lack of counselling facilities, logistical costs associated with diagnosis, and overall health monitoring of the farm result in sub-optimal management of the farm. This paper presents an android-based decision support system (DSS) for farmers, Kisaan Margadarshark developed to monitor crop health from camera images of the crops sent periodically by the registered farmers. Using deep learning algorithms, the system assesses crop health by detecting pest attacks, diseases, deficiencies, etc., and provides standard practices to be adopted by the farmer. The application also provides the farmer with both current and forecasted prices in the neighbourhood markets for better planning the harvesting of the yield. The application is farmer-friendly and provides multi-language support. The application also provides the farmer with current and forecasted weather information for planning during phases from crop sowing to harvesting.

关键词： AI/ML Crop Health Mobile Application

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Centinela: An Intelligent System Based on an Integrated Architecture for Supporting Scholars 12th

Centinela: An Intelligent System Based on an Integrated Arch...

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12th Ecuadorian Conference on information and Communication Technologies

作者： Recalde, Lorena Suntaxi, Gabriela Martinez-Mosquera, Diana Masabanda, Rommel Cabrera, Danny Escuela Politec Nacl Dept Informat & Comp Sci Ladron Guevara E11-253 Quito Ecuador

ISBN: (纸本)9783031754302;9783031754319

Research and discovery are fundamental to the advancement of visionary universities. In the modern era, the impact of scientific research on development underscores the critical need for enhanced collaboration among experts. In Ecuador, both public and private universities are spearheading high-quality research initiatives that engage hundreds of scholars, highlighting an increased momentum in scientific output. This surge necessitates an efficient computational tool to support these academic communities in networking, finding collaborators, and selecting joint research topics. To address these needs, we have developed an architecture underpinning a new application named "Centinela". This architecture is structured into three layers: i. two operational and one analytical databases that forms the data layer, which by combining multiple databases, optimizes the retrieval, processing, and presentation of research data;ii. Django for the back-end to handle business logic;and iii. Angular for the front-end that supports the user interaction. Centinela integrates data from the Scopus API, focusing on the contributions of Ecuadorian researchers, and builds networks of co-authorship, acts as a search engine for academic publications, allows researchers to form groups, provides recommendations on research topics and facilitates group decision-making processes. This integration showcases the application's robustness in streamlining the management of researchers' collective expertise and fostering in-depth knowledge across both foundational and advanced subjects.

关键词： System architecture Docker Neo4j information retrieval Group recommender system Co-authorship network C4 Model

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